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Record W2532888393 · doi:10.5539/jmbr.v6n1p67

Glutathione S- Transferase M1 in the Serum of Patients with Endometriosis

2016· article· en· W2532888393 on OpenAlexvenueno aff
Zahra Sorkhoo

Bibliographic record

VenueJournal of Molecular Biology Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsnot available
Fundersnot available
KeywordsEndometriosisGlutathioneGlutathione S-transferaseInternal medicineEndocrinologyEnzymePathophysiologyMedicineChemistryAndrologyBiochemistry

Abstract

fetched live from OpenAlex

Endometriosis is a female disease with high incidence and unknown causes because of the presence of endometrial tissue outside of the uterine wall. Glutathione S- transferase (GSTs) is a key enzyme in phase I and II that catalyzes the conjugation of glutathione to genotoxic compounds. Glutathione S- transferase M1 (GSTM1) is a versatile enzyme that plays an important role in detoxification of carcinogenic metabolites. The aim of this study was to evaluate serum levels GSTM1 in patients with endometriosis. In this study, blood samples from 20 women with endometriosis and 20 healthy women were collected. The final concentration of protein in the blood of patients (TPC) and GSTM1 in serum by using "biuret" and enzyme-linked immunosorbent assay "(ELISA) were measured. It was shown that the level of total protein concentration all samples are within the normal range and no significant changes between the two groups were seen. Although significant reduction in serum levels GSTM1 was observed in patients with Endometriosis compared to the control group (P = 0.002). The results of this study showed that GSTM1 is involved pathophysiology of endometriosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.319
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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